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Ali Ben Abbes
Titre
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Année
Wavelet transform application for/in non-stationary time-series analysis: A review
M Rhif, A Ben Abbes, IR Farah, B Martínez, Y Sang
Applied Sciences 9 (7), 1345, 2019
3932019
A review of drought monitoring with big data: Issues, methods, challenges and research directions
H Balti, AB Abbes, N Mellouli, IR Farah, Y Sang, M Lamolle
Ecological Informatics 60, 101136, 2020
722020
Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification
A Sellami, AB Abbes, V Barra, IR Farah
Pattern Recognition Letters 138, 594-600, 2020
612020
Comparative study of three satellite image time-series decomposition methods for vegetation change detection
A Ben Abbes, O Bounouh, IR Farah, R de Jong, B Martínez
European Journal of Remote Sensing 51 (1), 607-615, 2018
602018
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review
A Ferchichi, AB Abbes, V Barra, IR Farah
Ecological Informatics 68, 101552, 2022
552022
Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software
E Ghaderpour, A Ben Abbes, M Rhif, SD Pagiatakis, IR Farah
International journal of remote sensing 41 (6), 2374-2390, 2020
362020
An improved trend vegetation analysis for non-stationary NDVI time series based on wavelet transform
M Rhif, A Ben Abbes, B Martinez, IR Farah
Environmental Science and Pollution Research 28 (34), 46603-46613, 2021
222021
A deep learning approach for forecasting non-stationary big remote sensing time series
M Rhif, AB Abbes, B Martinez, IR Farah
Arabian Journal of Geosciences 13 (22), 1-11, 2020
162020
A review of drought monitoring using remote sensing and data mining methods
R Inoubli, AB Abbes, IR Farah, V Singh, T Tadesse, MT Sattari
2020 5th International Conference on Advanced Technologies for Signal and …, 2020
162020
Soil moisture estimation from smap observations using long short-term memory (lstm)
AB Abbes, R Magagi, K Goita
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
162019
Deep learning models performance for NDVI time series prediction: a case study on north west Tunisia
M Rhif, AB Abbes, B Martínez, IR Farah
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020
142020
Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics
M Rhif, AB Abbes, B Martinez, R de Jong, Y Sang, IR Farah
Ecological Informatics 69, 101596, 2022
122022
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series
A Abidi, D Ienco, AB Abbes, IR Farah
Engineering Applications of Artificial Intelligence 122, 106152, 2023
112023
Multidimensional Architecture using a Massive and Heterogeneous Data: Application to Drought Monitoring
H Balti, A Ben Abbes, N Mellouli, IR Farah, Y Sang, M Lamolle
Future Generation Computer Systems 135, 1-15, 2022
112022
Spatio-temporal modeling based on hidden Markov model for object tracking in satellite imagery
H Essid, AB Abbes, IR Farah, V Barra
2012 6th International Conference on Sciences of Electronics, Technologies …, 2012
112012
Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China
H Balti, AB Abbes, N Mellouli, Y Sang, IR Farah, M Lamolle, Y Zhu
2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-8, 2021
102021
Unsupervised self-training method based on deep learning for soil moisture estimation using synergy of sentinel-1 and sentinel-2 images
A Ben Abbes, N Jarray
International Journal of Image and Data Fusion 14 (1), 1-14, 2023
92023
Prediction changes for nonstationary multi-temporal satellite images using HMM
AB Abbes, IR Farah
Handbook of Research on Geographic Information Systems Applications and …, 2017
92017
Handbook of research on geographic information systems applications and advancements
S Faiz, K Mahmoudi
IGI Global, 2016
92016
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model
M Rhif, AB Abbes, B Martinez, IR Farah
Applied Soft Computing, 110172, 2023
82023
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